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TitleMapping changing temperature patterns over a glacial moraine using oblique thermal imagery and lidar
AuthorHopkinson, C; Barlow, J; Demuth, M; Pomeroy, J
SourceCanadian Journal of Remote Sensing vol. 36, suppl. 2, 2010 p. S257 - S265, https://doi.org/10.5589/m10-053
Year2010
Alt SeriesEarth Sciences Sector, Contribution Series 20090306
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
ProvinceAlberta
NTS82N/10NE
AreaPeyto Glacier; Rocky Mountains; Mistaya River
Lat/Long WENS-116.7500 -116.5000 51.7500 51.5833
Subjectssurficial geology/geomorphology; glaciers; moraines; glacial landforms; thermal imagery; temperature; analytical methods; lidar
Illustrationssketch maps; photographs
ProgramEarth Science for National Scale Characterization of Climate Change Impacts on Canada's Landmass, Climate Change Geoscience
AbstractDue to access difficulties in active alpine moraine environments, it can be challenging to accurately map and quantify debris cover and ice-core extent. To aid in identifying the presence and extent of ice-cored moraine, a non-invasive method of mapping spatial and temporal moraine temperature patterns using a light detection and ranging (lidar) digital elevation model (DEM) and sequences of oblique thermal imagery was evaluated. A procedure of lidar DEM-based orthorectification of thermal images collected through time from different locations enabled maps of temperature change to be generated and thermal signatures plotted. Although no exposed ice was visible on the moraine slope studied, the presence of shallow ice core beneath the debris-covered surface was inferred in areas of cooler temperatures during daylight solar heating and rapid thermal decay after sunset. It is presumed that this apparent increased heat loss in some areas of the moraine is being used to drive internal melt processes. It is believed that such temporal thermal imaging at high repetition frequency will aid in remotely mapping the presence of buried ice and, with the combination of energy balance data and further field validation, could enable the estimation of debris cover depth.
GEOSCAN ID248236